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Max Planck Institute for the History of Science, Berlin | Berlin, Berlin | Germany | about 8 hours ago
Job Offer from October 01, 2026 First Research Article Fellowship Program at the Max Planck Institute for the History of Science, Berlin 01 September 2027 – 28 February 2028 The Max Planck
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computational approaches to digital education data. The position is funded through a collaborative project between the Hector Research Institute of Education Sciences and Psychology and the Max Planck Institute
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. Specifically, we expect: a PhD in Psychology, Neuroscience, Computer Science, or a related field, or expect to obtain one by the start date; have strong experience and skills in cognitive computational modeling
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disciplines are eligible: legal sciences political science/international relations business/economics humanities and social sciences natural sciences computer science medicine architecture, only in connection
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available in the further tabs (e.g. “Application requirements”). Objective 'DLR-DAAD Research Fellowships' is a programme implemented by the 'German Aerospace Center' (DLR) and the 'German Academic Exchange
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available in the further tabs (e.g. “Application requirements”). Objective The primary aim of this programme is to promote the research projects within the context of the doctoral degrees and scientific
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available in the further tabs (e.g. “Application requirements”). Programme Description The Fellowship for Medical Sciences offers individual support to students in the disciplines of human or veterinary
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for up to 6 months in Lower Saxony (Germany). The programme is a funding initiative of zukunft.niedersachsen, a joint programme of the Lower Saxony Ministry of Science and Culture and the Volkswagen
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available in the further tabs (e.g. “Application requirements”). Programme Description The Fellowship for Agricultural Science can be granted to MSc and PhD students from all fields of natural science and
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Profile: • PhD in chemistry, materials science, chemical engineering, mechanical engineering or a related discipline • Strong experimental and/or computational background in laboratory automation, robotics